Table 4

Estimated short run and long run parameters of the symmetric ARDL and asymmetric ARDL (NARDL) models

ARDL (3,2,2,0,0)NARDL (3,2,2,0,0,0)
Panel A
Short run coefficients
constant11.40***1.2611.77***1.23
GDPt10.20**0.090.18**0.09
GDPt20.26***0.080.26**0.08
G0.040.030.030.03
Gt10.14***0.030.17***0.03
M0.05*0.030.030.03
Mt1−0.11***0.03−0.11***0.03
D73−0.02**0.009−0.02**0.00
D790.017*0.010.010.01
D900.02**0.0090.02**0.00
D20070.010.0080.010.008
ECTt−1−0.65***0.07−0.61***0.06
Panel B
Long run coefficients
G−0.07*0.03−0.14**0.06
M0.24***0.010.25***0.01
Poil0.02*0.010.0170.01
REER0.077***0.02  
REER+  −0.00010.05
REER  0.105***0.02
Diagnostic tests
A: Serial correlationχ2(2)=2.55χ2(2)=2.28
P value (0.27)P value (0.31)
B: Heteroskedasticityχ2(16)=13.93χ2(17)=16.21
P value (0.60)P value (0.50)
C: Functional formF (1,40) = 3.39F (1,39) = 0.59
RESET testP value (0.07)P value (0.44)
D: NormalityJarque-Bera = 2.78Jarque-Bera = 1.93
P value (0.24)P value (0.38)
 R2 = 0.99R2 = 0.99
Adjusted R2 = 0.99Adjusted R2 = 0.99

Note(s): A: Lagrange multiplier test of residual serial correlation; B: based on the regression of squared residuals on squared fitted values; C: Ramsey's RESET test using the square of the fitted values; D: based on a test of skewness and kurtosis of residuals

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